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KomaMRI.jl

verified

software/koma-mri

GPU-accelerated MRI physics simulator written in Julia, aimed at reproducible sequence and reconstruction research.

A human confirmed this record against its sources within the last 12 months.

KomaMRI.jl project image
GitHub preview card for JuliaHealth/KomaMRI.jl. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
mri-simulation
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
mri · simulation · julia
Regulatory
unknown
related
  • JEMRIS

    General-purpose MRI simulation framework for Bloch-equation-based sequence development and validation.

  • BART (Berkeley Advanced Reconstruction Toolbox)

    Toolbox for computational magnetic resonance imaging, providing calibration and iterative reconstruction methods.

built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • epgpymri · simulation

    A user-friendly python library for simulating NMR signals using the Extended Phase Graph (EPG) formalism.

  • MRI RF pulse simulation in MATLAB

  • mrtwinmri · simulation

    Collection of virtual objects for numerical MR experiments.

  • MRzero-Coremri · simulation

    Python package and documentation for MR-zero

  • tvb-reconmri · simulation

    Tools for creating full TVB models from individual anatomical scans

  • airshipsimulation

    AIRSHIP - An Interactive R-SHIny apP for visualizing tidy long data

sources
  1. api.github.com/repos/JuliaHealth/KomaMRI.jl
    retrieved 2026-08-04 · via github-api

    Last push 2026-08-02. License reported as MIT.

Verified 2026-08-04 by gh:judegomila. Correct this record →

machine-readable

/v1/entries/58.json→ .entries["koma-mri"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.